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General introduction to computer vision

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This document provides an overview of a computer vision course, including administrative details, topics, and expectations. The instructor is Guodong Guo from UW-Madison. Key topics covered include computer vision fundamentals and applications, publications in top journals and conferences, and course requirements such as homework, exams, and a final project. Meeting times are on Mondays from 5-7:30pm and the instructor's office hours are Tuesdays and Thursdays from 1-2pm.

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CS 591 E / CS 791 L (CRN: 18390 / 18490) Computer Vision Instructor: Guodong Guo [email_address]
Welcome! ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Instructor ,[object Object],[object Object],[object Object],[object Object],[object Object]
About You … ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Meeting Times ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Grading ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Textbook ,[object Object]
Look at the Syllabus ,[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What is Computer Vision? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computer Vision vs. Graphics ,[object Object],[object Object],[object Object],graphics vision
Computer Vision vs. Biometrics ,[object Object],[object Object],[object Object]
Computer Vision vs. Biometrics ,[object Object],[object Object]
Computer Vision vs. Machine Learning ,[object Object],[object Object]
Computer Vision vs. Machine Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Vision ,[object Object]
Computer Vision ,[object Object]
Why Computer Vision ,[object Object],[object Object],[object Object],[object Object],[object Object]
Computer Vision Examples ,[object Object],[object Object],[object Object]
“ Yes” Instances
“ No” Instances
Some Computer Vision Topics
Imaging Geometry
Camera Modeling ,[object Object],[object Object],[object Object]
Image Filtering and Enhancing ,[object Object],[object Object],[object Object],[object Object]
Image Filtering and Enhancing (cont.)
Region Segmentation
Color
Texture
Image Restoration Original Synthetic
Perceptual Organization
Perceptual Organization
Shape Analysis
Stereo
Motion and Optical Flow
High Level Vision
Image Mosaic
One Very Successful Example ,[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Applications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computer Vision focuses on: ,[object Object],[object Object],[object Object],[object Object]
Related disciplines ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Active Research Topics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Computer Vision Publications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Importance of CV ,[object Object],[object Object],[object Object]
Computer Vision Publications ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]

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General introduction to computer vision